AI QA Test Automation Engineer
Uses Claude Code, Cursor, or similar AI coding tools
Design to build to ship to iterate, no handoffs
Hired for results, not hours logged or process followed
What you've built matters more than credentials
Design and implement intelligent, AI-driven test automation frameworks using Playwright that feature self-healing capabilities and predictive failure analysis. You will integrate GenAI solutions into the CI/CD pipeline to automate test case generation, script scaffolding, and data creation.
A seasoned QA engineer with deep expertise in Playwright and a proven track record of integrating AI/ML tools like GitHub Copilot into the software testing lifecycle. You should be a strategic thinker capable of driving the adoption of AI-powered QA practices and optimizing test efficiency across development teams.
Summary:
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We are seeking an **AI QA Test Automation Engineer** to design, develop, and implement intelligent, AI‑driven test automation solutions leveraging **AI/ML and GenAI technologies** such as **Microsoft Copilot** and **GitHub Copilot.** The role focuses on improving software quality, accelerating test cycles, and enabling predictive and self-healing testing within a CI/CD ecosystem by leveraging **Playwright** frameworks.
Required Skills & Qualifications:
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- **5+** years in QA / Test Automation
- Strong hands‑on experience with **Playwright**
- Experience with various design patterns and frameworks
- Experience in API automation (**Playwright /REST Assured / Postman**)
- Familiarity with CI/CD tools (Azure DevOps, Jenkins, GitHub, etc.)
- Strong understanding of SDLC, STLC, and Agile methodologies
- Experience in cross‑browser and cross‑device testing
- Knowledge of defect lifecycle and test reporting
- Proficiency in Visual Studio Code (**VS Code**)
- Programming skills: **Python / Type Script/JavaScript**
- Leverage **Microsoft Copilot** and **GitHub Copilot** for:
+ Accelerating **test case design and documentation**
+ Generating **automation scripts and reusable components**
+ Writing and optimizing **test code and utilities**
- Implement **GenAI-based solutions** for:
+ Requirement → Test case generation
+ Automation script scaffolding
+ Test data generation
- Apply **ML techniques** for:
+ Risk-based test prioritization
+ Intelligent test selection
+ Defect prediction & failure analysis
+ **AI-assisted** QA tools
- Hands-on experience or strong exposure to:
+ Microsoft **Copilot** / **GitHub Copilot**
+ **Prompt engineering** for QA use cases
+ **AI-assisted** code and test generation
- CI/CD tools: Azure DevOps / Jenkins / GitHub Actions
- Version control: Git/ GitHub
- Cloud exposure: Azure (preferred) / AWS
- Ability to drive **AI adoption in QA teams**
Role & Responsibilities:
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- Design and develop **end‑to‑end automation test scripts and frameworks** (UI, API, and backend).
- Build automation scripts using:
+ **Playwright**
+ **AI Powered** automation tools
- Analyse automation failures and ensure timely fixes for stability and reliability
- Participate in regression cycles, SIT/UAT support, and production validation
- Develop **self-healing automation** (dynamic locators, smart retries)
- Improve automation stability using **AI-assisted debugging**
- Enable **smart reruns and flaky test detection**
- Define and implement **AI-driven QA strategies**
- Optimize **test coverage and execution efficiency**
- Analyze test and defect data using **AI/ML models**
- Work closely with **Product, Development, and DevOps teams**
- Drive adoption of **AI-powered QA practices across teams**
Basic Qualifications:
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- BS degree in Computer Science or related discipline or **5+** years of experience as a QA resource working on multiple projects
- **4+** years in QA / Test Automation
- **1+** years in **AI-Powered QA**